Operations | Monitoring | ITSM | DevOps | Cloud

Earlier this month, we shared exciting news with our first placement in the 2022 Gartner® Magic Quadrant™ for Application Performance Monitoring and Observability: we are in the Visionary Quadrant. This research is near to my heart, as I led this research for four years; so, I wanted to reflect on why this is an accurate placement for Logz.io. The Visionary Quadrant is designated for those organizations who are pushing the boundaries of a specific market and technology.

Grafana is an open source tool for people with many different perspectives and various skill levels. Many initiatives to improve the Grafana user experience start by thinking about someone who’s just getting started on their observability journey. However, late last year, a Grafana Labs hackathon team looked to improve the user experience for our power users by introducing a command palette to Grafana.

As software developers, one of the things that we worry a lot about is our software dependencies. To speed up delivery time of new functionality within our code we reuse software – we don’t have time to reinvent the wheel. We stand on the shoulders of giants and leverage all the hard work and lessons learned from the software developers of our past. Sounds great right! Well mostly great because we are faced with the underlying trials intrinsec to software development.

Debugging application performance in Azure AppService is something that’s quite difficult using Azure’s built-in services (like Application Insights). Among some of the issues are visualizations, and the time it takes to be able to query data. In this post, we’ll walk through the steps to ingest HTTP Access Logs from Azure AppService into Honeycomb to provide for near real-time analysis Access Logs.

Besides keeping IT and business systems humming, IT operations teams are tasked with driving digital transformation initiatives and supporting innovation within their organizations.

Service ownership is a DevOps best practice where team members take responsibility for supporting the software they deliver at every stage of the development lifecycle. This level of ownership brings development teams much closer to their customers, the business, and the value being delivered. Service owners are the subject matter experts (SMEs) for their services – and in a service ownership model, they are also responsible for responding to any production issues.

A time series is a sequence of data points (observations) arranged chronologically and spaced equally in time. Some notable examples of time series data are stock prices, a record of annual rainfall, or the number of customers using a bike sharing app daily. Time series data exhibits certain patterns, such as the highs and lows of hotel prices depending on season.

It’s common for most CISOs to lead off a security conversation by comparing what other companies in the industry are spending on cybersecurity and simply matching that. After all, regardless of the results, the CISO can always tell the board of directors they’re following industry guidelines around security budgets. The problem is security outcomes are bad regardless of budgets. It’s not what you spend. It’s the results you get that matter.